Thermal Neutron Classification in the Hohlraum Using Artificial Neural Networks

One potential method for the treatment of brain tumors is the use of thermal nuetrons flux. These type of neutrons are produced by the nuclear fission of uranium-235. When the nuclear fission occurs at the core of a reactor, part of the thermal neutrons flux go into the Hohlraum generating an isotopic expansion. To successfully carry out this radiation technique, it is necessary to evaluate the performance of the thermal neutrons flux at the Hohlraum during he isotropic expansion. In this paper, the classification of the resultant flux is achieved using a Multilayer Perceptron Artificial Neural Network (ANN). For the ANN topology configuration, a set of parameters specific to the structure of the horizontal thermal column of the Hohlraum reactor have been determined. Experimental results show the viability of the model and provide additional support to the reactor facilities remodeling tasks.